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# LLMs

Large Language Models (LLMs) are a core component of LangChain.
LangChain does not serve its own LLMs, but rather provides a standard interface for interacting with many different LLMs. To be specific, this interface is one that takes as input a string and returns a string.

There are lots of LLM providers (OpenAI, Cohere, Hugging Face, etc) - the `LLM` class is designed to provide a standard interface for all of them.

## [Quick Start](/docs/modules/model_io/llms/quick_start)

Check out [this quick start](/docs/modules/model_io/llms/quick_start) to get an overview of working with LLMs, including all the different methods they expose

## [Integrations](/docs/integrations/llms/)

For a full list of all LLM integrations that LangChain provides, please go to the [Integrations page](/docs/integrations/llms/)

## How-To Guides

We have several how-to guides for more advanced usage of LLMs.
This includes:

- [How to cache LLM responses](/docs/modules/model_io/llms/llm_caching)
- [How to stream responses from an LLM](/docs/modules/model_io/llms/streaming_llm)
